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Autoregressive integrated moving average
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81	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: dirichlet.mat.puc.cl Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
82	Travel and Transportation in the Age of BigData Ugur Demiryurek, Ph.D. Associate Director, Integrated Media Systems Center (IMSC) Viterbi School of Engineering Add to Reading List Source URL: imsc.usc.edu Language: English - Date: 2015-04-06 13:09:58 Analytics Mathematical finance Autoregressive integrated moving average Business Data management Business intelligence Formal sciences Statistics
83	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran.stat.upd.edu.ph Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
84	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran.dcc.fc.up.pt Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
85	Utilizing Real-World Transportation Data for Accurate Trafﬁc Prediction Bei Pan, Ugur Demiryurek, Cyrus Shahabi Integrated Media System Center University of Southern California Los Angeles, United States {beipan,demiry Add to Reading List Source URL: infolab.usc.edu Language: English - Date: 2012-11-29 22:14:42 Autoregressive integrated moving average Arima Prediction Box–Jenkins Autoregressive–moving-average model Time series Time series analysis Statistics Forecasting
86	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran.csie.ntu.edu.tw Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
87	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran.ism.ac.jp Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
88	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: www.vps.fmvz.usp.br Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests
89	Monetary & Financial Statistics: AprilSeasonal adjustment of monetary data: annual review By Martin Daines Tel: Add to Reading List Source URL: www.bankofengland.co.uk Language: English - Date: 2015-04-13 11:09:35 Autoregressive integrated moving average X-12-ARIMA X12 Arima Adjustment Easter Calendar Demetra+ Statistics Time series analysis Seasonal adjustment
90	R functions for time series analysis by Vito Ricci () RR FUNCTIONS FOR TIME SERIES ANALYSIS Here are some helpful R functions for time series analysis. They belong from stats, tseries, Add to Reading List Source URL: cran.fiocruz.br Language: English - Date: 2004-11-29 04:09:50 Econometrics Covariance and correlation Noise Augmented Dickey–Fuller test Autoregressive integrated moving average Autoregressive conditional heteroskedasticity Partial autocorrelation function Time series Jarque–Bera test Statistics Time series analysis Statistical tests

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